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fixed maxProduct

release/4.3a0
Varun Agrawal 2025-01-01 15:10:53 -05:00
parent 2a5833bf6a
commit 6f19ffd966
2 changed files with 6 additions and 6 deletions
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3
gtsam/hybrid/HybridBayesNet.cpp
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@ -131,6 +131,7 @@ DiscreteValues HybridBayesNet::discreteMaxProduct(
for (TableFactor::SparseIt it(sparseTable); it; ++it) {
if (it.value() > maxValue) {
maxIdx = it.index();
maxValue = it.value();
}
}
@ -210,8 +211,6 @@ AlgebraicDecisionTree<Key> HybridBayesNet::errorTree(
// Iterate over each conditional.
for (auto &&conditional : *this) {
conditional->print();
conditional->errorTree(continuousValues).print("errorTre", DefaultKeyFormatter);
result = result + conditional->errorTree(continuousValues);
}

9
gtsam/hybrid/tests/testHybridGaussianFactorGraph.cpp
View File

@ -650,7 +650,7 @@ TEST(HybridGaussianFactorGraph, EliminateTiny1) {
mode, std::vector{conditional0, conditional1});
// Add prior on mode.
expectedBayesNet.emplace_shared<DiscreteConditional>(mode, "74/26");
expectedBayesNet.emplace_shared<DiscreteTableConditional>(mode, "74/26");
// Test elimination
const auto posterior = fg.eliminateSequential();
@ -700,11 +700,12 @@ TEST(HybridGaussianFactorGraph, EliminateTiny1Swapped) {
m1, std::vector{conditional0, conditional1});
// Add prior on m1.
expectedBayesNet.emplace_shared<DiscreteConditional>(m1, "1/1");
expectedBayesNet.emplace_shared<DiscreteTableConditional>(
m1, "0.188638/0.811362");
// Test elimination
const auto posterior = fg.eliminateSequential();
// EXPECT(assert_equal(expectedBayesNet, *posterior, 0.01));
EXPECT(assert_equal(expectedBayesNet, *posterior, 0.01));
EXPECT(ratioTest(bn, measurements, *posterior));
@ -736,7 +737,7 @@ TEST(HybridGaussianFactorGraph, EliminateTiny2) {
mode, std::vector{conditional0, conditional1});
// Add prior on mode.
expectedBayesNet.emplace_shared<DiscreteConditional>(mode, "23/77");
expectedBayesNet.emplace_shared<DiscreteTableConditional>(mode, "23/77");
// Test elimination
const auto posterior = fg.eliminateSequential();